Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models

Mark Simpson; Jan Oliver Wallgrün; Alexander Klippel; Liping Yang; Gregory Garner; Klaus Keller; Danielle Oprean; Saurabh Bansal

doi:10.1145/3009939.3009955

Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models

Mark Simpson
, Jan Oliver Wallgrün
, Alexander Klippel
, Liping Yang
, Gregory Garner
, Klaus Keller
, Danielle Oprean
, Saurabh Bansal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Scopus citations

Abstract

We are creating an immersive analytics tool for exploring the output of a Dynamic Integrated Climate-Economy (DICE) model, and present early work on the prototype system. DICE models and other Integrated Assessment Models (IAMs) are critical for informing environmental decision making and policy analysis. They often produce complex and multi-layered output, but need to be understood by decision makers who are not experts. We discuss our current and targeted feature set in order to help address this challenge. Additionally, we look ahead to the potential for rigorous evaluation of the system to uncover whether or not it is an improvement over current visualization methods.

Original language	English (US)
Title of host publication	Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces
Subtitle of host publication	Nature Meets Interactive Surfaces, ISS 2016
Publisher	Association for Computing Machinery, Inc
Pages	99-105
Number of pages	7
ISBN (Electronic)	9781450345309
DOIs	https://doi.org/10.1145/3009939.3009955
State	Published - Nov 6 2016
Event	11th Annual ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2016 - Niagara Falls, Canada Duration: Nov 6 2016 → Nov 9 2016

Publication series

Name	Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016

Other

Other	11th Annual ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2016
Country/Territory	Canada
City	Niagara Falls
Period	11/6/16 → 11/9/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Computer Networks and Communications
Hardware and Architecture

Access to Document

10.1145/3009939.3009955

Cite this

Simpson, M., Wallgrün, J. O., Klippel, A., Yang, L., Garner, G., Keller, K., Oprean, D., & Bansal, S. (2016). Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models. In Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016 (pp. 99-105). (Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/3009939.3009955

Simpson, Mark ; Wallgrün, Jan Oliver ; Klippel, Alexander et al. / Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models. Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016. Association for Computing Machinery, Inc, 2016. pp. 99-105 (Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016).

@inproceedings{b18b94b4bce349128e1f9e7d095bd904,

title = "Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models",

abstract = "We are creating an immersive analytics tool for exploring the output of a Dynamic Integrated Climate-Economy (DICE) model, and present early work on the prototype system. DICE models and other Integrated Assessment Models (IAMs) are critical for informing environmental decision making and policy analysis. They often produce complex and multi-layered output, but need to be understood by decision makers who are not experts. We discuss our current and targeted feature set in order to help address this challenge. Additionally, we look ahead to the potential for rigorous evaluation of the system to uncover whether or not it is an improvement over current visualization methods.",

author = "Mark Simpson and Wallgr{\"u}n, \{Jan Oliver\} and Alexander Klippel and Liping Yang and Gregory Garner and Klaus Keller and Danielle Oprean and Saurabh Bansal",

note = "Funding Information: This work was partially supported by the National Science Foundation (NSF) cooperative agreement GEO-1240507 and the Penn State Center for Climate Risk Management and this work was supported by the NSF under IGERT Award \#DGE-1144860, Big Data Social Science, and Pennsylvania State University. Funding has also been received through Pennsylvania State University's Institute for Cyber Science. Any conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.; 11th Annual ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2016 ; Conference date: 06-11-2016 Through 09-11-2016",

year = "2016",

month = nov,

day = "6",

doi = "10.1145/3009939.3009955",

language = "English (US)",

series = "Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016",

publisher = "Association for Computing Machinery, Inc",

pages = "99--105",

booktitle = "Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces",

}

Simpson, M, Wallgrün, JO, Klippel, A, Yang, L, Garner, G, Keller, K, Oprean, D & Bansal, S 2016, Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models. in Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016. Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016, Association for Computing Machinery, Inc, pp. 99-105, 11th Annual ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2016, Niagara Falls, Canada, 11/6/16. https://doi.org/10.1145/3009939.3009955

Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models. / Simpson, Mark; Wallgrün, Jan Oliver; Klippel, Alexander et al.
Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016. Association for Computing Machinery, Inc, 2016. p. 99-105 (Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models

AU - Simpson, Mark

AU - Wallgrün, Jan Oliver

AU - Klippel, Alexander

AU - Yang, Liping

AU - Garner, Gregory

AU - Keller, Klaus

AU - Oprean, Danielle

AU - Bansal, Saurabh

N1 - Funding Information: This work was partially supported by the National Science Foundation (NSF) cooperative agreement GEO-1240507 and the Penn State Center for Climate Risk Management and this work was supported by the NSF under IGERT Award #DGE-1144860, Big Data Social Science, and Pennsylvania State University. Funding has also been received through Pennsylvania State University's Institute for Cyber Science. Any conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.

PY - 2016/11/6

Y1 - 2016/11/6

N2 - We are creating an immersive analytics tool for exploring the output of a Dynamic Integrated Climate-Economy (DICE) model, and present early work on the prototype system. DICE models and other Integrated Assessment Models (IAMs) are critical for informing environmental decision making and policy analysis. They often produce complex and multi-layered output, but need to be understood by decision makers who are not experts. We discuss our current and targeted feature set in order to help address this challenge. Additionally, we look ahead to the potential for rigorous evaluation of the system to uncover whether or not it is an improvement over current visualization methods.

AB - We are creating an immersive analytics tool for exploring the output of a Dynamic Integrated Climate-Economy (DICE) model, and present early work on the prototype system. DICE models and other Integrated Assessment Models (IAMs) are critical for informing environmental decision making and policy analysis. They often produce complex and multi-layered output, but need to be understood by decision makers who are not experts. We discuss our current and targeted feature set in order to help address this challenge. Additionally, we look ahead to the potential for rigorous evaluation of the system to uncover whether or not it is an improvement over current visualization methods.

UR - https://www.scopus.com/pages/publications/85009822969

UR - https://www.scopus.com/pages/publications/85009822969#tab=citedBy

U2 - 10.1145/3009939.3009955

DO - 10.1145/3009939.3009955

M3 - Conference contribution

AN - SCOPUS:85009822969

T3 - Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016

SP - 99

EP - 105

BT - Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces

PB - Association for Computing Machinery, Inc

T2 - 11th Annual ACM International Conference on Interactive Surfaces and Spaces, ISS Companion 2016

Y2 - 6 November 2016 through 9 November 2016

ER -

Simpson M, Wallgrün JO, Klippel A, Yang L, Garner G, Keller K et al. Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models. In Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016. Association for Computing Machinery, Inc. 2016. p. 99-105. (Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016). doi: 10.1145/3009939.3009955

Immersive analytics for multi-objective dynamic integrated climate-economy (DICE) models

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this